A Survey on Recommendation System for Big Data Applications

Recommender systems is very useful tools for providing proper suggestions to users before buying any product online. Presently a days, the measure of users, services and online data has expands rapidly, accepting the enormous information investigation issue for recommender system. As a result, existing recommender systems have scalability and inefficiency issue when processing or analyzing extensive data, due to this distributed system come into existence. In this paper, explain the recommendation system related research and introduces different techniques used by the recommender system. Finally we will give details about the main challenges recommender systems arrive across.